Test-Time Diffusion Deep Researcher: Ushering in a Human-Like AI Research Paradigm Introducing Test-Time Diffusion Deep Researcher (TTD-DR) framework an AI assistant that doesn't just gather information, but actively thinks, revises, and refines its work, much like a skilled human r... AI research draft refinement large language models multihop reasoning research automation retrieval augmentation self-evolution test-time diffusion
Scaling Research with Multi-Agent AI: Lessons from Anthropic's System Anthropic’s experience with multi-agent research systems reveals both the transformative power and engineering challenges of orchestrating teams of Claude agents. Their approach offers valuable lesson... AI research Claude evaluation multi-agent systems production engineering prompt engineering system architecture tool design
OpenAI and Oracle Unite for Stargate: Redefining AI Infrastructure at Scale AI innovation is taking a dramatic leap forward as OpenAI and Oracle unveil a strategic alliance centered on the high-profile Stargate project. By combining OpenAI’s groundbreaking research with Oracl... AI research cloud infrastructure enterprise AI OpenAI Oracle partnership Stargate supercomputing
T5Gemma: Google’s Next Leap in Encoder-Decoder Language Models Large language models (LLMs) are transforming rapidly, and Google’s T5Gemma brings a refreshing shift by reviving the versatile encoder-decoder architecture. While decoder-only models have garnered mu... AI research benchmarking encoder-decoder Gemma LLMs model adaptation open source models
Feedback-Driven Methods Are Transforming Prompt Engineering Prompt engineering is crucial for maximizing the capabilities of large language models (LLMs), but it has traditionally required significant manual effort and specialized know-how. As new tasks and mo... AI research automation efficiency feedback loops large language models machine learning prompt optimization
Deep Learning is Revolutionizing Computational Chemistry at Microsoft Thanks to recent breakthroughs at Microsoft Research , scientists may be able to forecast the properties of new molecules with laboratory-level accuracy, all from behind a computer screen. By marrying... AI research computational chemistry deep learning density functional theory machine learning materials science molecular modeling
Revolutionizing AI Reasoning: Microsoft Research's Breakthroughs for Language Models Artificial intelligence is advancing at a remarkable pace, but its true leap lies in enhancing reasoning skills. Microsoft Research is at the forefront, developing innovative approaches that emp... AI research formal methods generalization language models machine learning mathematics reasoning symbolic reasoning
Large Reasoning Models: Breakthroughs and Breaking Points in AI Problem-Solving Artificial intelligence has made remarkable strides, and Large Reasoning Models (LRMs) are at the forefront of this revolution. These models promise to deliver more than just answers, they aim to repl... AI research artificial intelligence benchmarking chain-of-thought large language models model limitations problem complexity reasoning
Doudna Supercomputer: Revolutionizing Science with Dell and NVIDIA Imagine unlocking scientific insights in weeks that once took years. That’s the promise behind the U.S. Department of Energy’s latest investment in high-performance computing: a next-generation superc... AI research Dell Technologies DOE HPC NVIDIA quantum computing scientific discovery supercomputing
Demystifying AI: Open-Source Circuit Tracing Tools Illuminate Neural Networks Artificial intelligence has made remarkable strides, but understanding how models arrive at their answers remains a daunting challenge. Anthropic’s new open-source circuit tracing tools promise to bri... AI research AI transparency attribution graphs circuit tracing interpretability language models neural networks open source
KBLaM: Unlocking Plug-and-Play External Knowledge for LLMs Giving large language models (LLMs) direct, efficient access to external knowledge is a persistent challenge. Traditional approaches, like fine-tuning or Retrieval-Augmented Generation (RAG), either r... AI research interpretable AI KBLaM knowledge integration LLMs plug-and-play scalability
How Anthropic’s AI for Science Program is Accelerating Research Breakthroughs AI Opens New Doors for Researchers Imagine harnessing the power of advanced AI to solve some of the world’s toughest scientific challenges. Anthropic’s latest initiative, the AI for Science program, i... agriculture AI research API access biotechnology drug development life sciences scientific discovery